2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC)最新文献

Factors Influencing Pre-University Students’ Interests towards STEM Programs and Careers 影响大学预科学生对STEM项目和职业兴趣的因素

2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2020-12-01 DOI: 10.1109/R10-HTC49770.2020.9357019

Sing Ling Ong, J. Ling

{"title":"Factors Influencing Pre-University Students’ Interests towards STEM Programs and Careers","authors":"Sing Ling Ong, J. Ling","doi":"10.1109/R10-HTC49770.2020.9357019","DOIUrl":"https://doi.org/10.1109/R10-HTC49770.2020.9357019","url":null,"abstract":"STEM professionals are greatly needed to supply the global demands of the Industry 4.0. Students’ choice of programs during their enrolment into pre-universities will affect their ultimate decision to pursue STEM careers. The number of students who enrolled in STEM programs is declining. A number of Science stream graduates of Sijil Pelajaran Malaysia (SPM) opted to enroll in Arts stream instead of Science stream during their pre-university studies. These students revealed that they either fear Science subjects which are deemed more difficult or have no interests. The objective of this study is to examine the factors that influence STEM interests among pre-university students. The sample population was taken from University College of Technology Sarawak (UCTS) Semester 2 Foundation in Arts (FIA) students, session 2018/2019. This research was carried out using a questionnaire. The data were analyzed using R software. The results revealed that teachers were the most influential factor to inspire STEM interests. Academic institutions may potentially use the findings to formulate their marketing strategies to increase STEM enrolments. This study will help increase the awareness of the gap between STEM interests and growth in STEM graduates. It provides an insight for future research on students’ interests in STEM careers.","PeriodicalId":167196,"journal":{"name":"2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115767488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

R10-HTC 2020 Copyright Page R10-HTC 2020版权页面

2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2020-12-01 DOI: 10.1109/r10-htc49770.2020.9357003

引用次数: 0

High Performance Computing (HPC) Applications in Industry 4.0 (I4.0) for the betterment of humanity 高性能计算(HPC)在工业4.0 (I4.0)中的应用，以改善人类生活

2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2020-12-01 DOI: 10.1109/R10-HTC49770.2020.9356990

Min Hoe, J. Dargham

引用次数: 1

Assessment of Waste Management Practices and its Impact on the Village Ecosystem in Himachal Pradesh, India 印度喜马偕尔邦废物管理实践及其对村庄生态系统影响的评估

2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2020-12-01 DOI: 10.1109/R10-HTC49770.2020.9356996

S. Balu, Kumar S. Sampath, Lakshman R. B. Hari, M. Ramprasath, N. Aishwarya, M. Aiswarya, L. M. Frey, Krishna Nandanan

{"title":"Assessment of Waste Management Practices and its Impact on the Village Ecosystem in Himachal Pradesh, India","authors":"S. Balu, Kumar S. Sampath, Lakshman R. B. Hari, M. Ramprasath, N. Aishwarya, M. Aiswarya, L. M. Frey, Krishna Nandanan","doi":"10.1109/R10-HTC49770.2020.9356996","DOIUrl":"https://doi.org/10.1109/R10-HTC49770.2020.9356996","url":null,"abstract":"Solid waste management is a persistent global issue that begs critical attention. India oversees an estimated 960 million tonnes of solid waste generation annually. The lesser developed Indian rural villages have no systematic means of solid waste management, exposing the village communities to severe health repercussions. The purpose of this study is to conduct an impact analysis of the current waste management and sanitation practices followed in the village Indpur, Himachal Pradesh, India. Participatory research methods were adopted based on Human Centered Design approach to deeply understand the persistent challenge, its impact on the community and propose a sustainable intervention to address the identified problem. The study proposes a novel solution in the form of plastic blocks that is capable of addressing the twin challenge of plastic waste management and sanitation. Done as part of the Live-in-Labs® program, the study manages to address a multi domain rural challenge through a human centric and sustainable development approach that concerns various Sustainable Development Goals of the UN.","PeriodicalId":167196,"journal":{"name":"2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126297606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Problem Assessment and Interventions for Improving Agricultural Methods and Practices among Small and Marginal Farmers in Rajasthan, India 印度拉贾斯坦邦小农和边缘农民改善农业方法和实践的问题评估和干预措施

2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2020-12-01 DOI: 10.1109/R10-HTC49770.2020.9356958

M. Ashwin Krithik, K.V. Lakshmi Sri, C.H. Pruthvi, S. Vasanth Sathyanarayanan, Sooraj Suseel Kumar, L. M. Frey, R. Mohan

{"title":"Problem Assessment and Interventions for Improving Agricultural Methods and Practices among Small and Marginal Farmers in Rajasthan, India","authors":"M. Ashwin Krithik, K.V. Lakshmi Sri, C.H. Pruthvi, S. Vasanth Sathyanarayanan, Sooraj Suseel Kumar, L. M. Frey, R. Mohan","doi":"10.1109/R10-HTC49770.2020.9356958","DOIUrl":"https://doi.org/10.1109/R10-HTC49770.2020.9356958","url":null,"abstract":"Agriculture is a primary occupation globally, especially for farmers in rural areas. If successful, it can provide stable income and food security for eighty percent of the world’s poor living in rural areas. However, many poor rural farmers face multiple challenges to agricultural success, threatening their food security, income, and livelihoods. This study aimed to investigate and assess the challenges related to farming methodologies and work practices of small and marginal farmers in a rural village located in Rajasthan, India. An ethnographic, naturalistic study was conducted. Results indicated significant challenges to agricultural outcomes, including lack of necessary agricultural technologies, excessive expenses related to machine rentals (e.g., tractors, threshers), selection of soil nutrients based on intuition, destruction of crops by animal invasion, inconsistent electricity supply for agricultural needs, and lack of roads. One of the most pressing issues was the need for low-cost machinery, particularly a multi-purpose thresher, to significantly reduce excessive manual labor and expenses. A cost-efficient multi-grain thresher is introduced that runs on renewable energy and provides safety measures in the feeding mechanism, making it easy to use. This technology can lessen the strenuous physical exertion of farmers and laborers, also increasing their income.","PeriodicalId":167196,"journal":{"name":"2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134152620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tsunami Fighters: Collaborative Multilingual Mobile Game for Earthquake and Tsunami Disaster Preparedness Education 海啸战士:用于地震和海啸防灾教育的协作多语言手机游戏

2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2020-12-01 DOI: 10.1109/R10-HTC49770.2020.9357038

Rahma Rizky Alifia, Fathiya Rahma, Ulfa Hamida, A. P. Koesoema, Yoke S.Irawan, S. Egawa

{"title":"Tsunami Fighters: Collaborative Multilingual Mobile Game for Earthquake and Tsunami Disaster Preparedness Education","authors":"Rahma Rizky Alifia, Fathiya Rahma, Ulfa Hamida, A. P. Koesoema, Yoke S.Irawan, S. Egawa","doi":"10.1109/R10-HTC49770.2020.9357038","DOIUrl":"https://doi.org/10.1109/R10-HTC49770.2020.9357038","url":null,"abstract":"Indonesia is one of the most disaster-prone countries with a low level of community preparedness. Current disaster education methods in Indonesia such as seminars, campaigns, promotions, and educational videos require significant resources but tend to be one-way, less interactive, and cannot simulate actual events. This study aims to complement existing disaster education capabilities through collaborative mobile games that can represent the disaster event with less resources and extend the accessibility and flexibility. As collaboration is one of the keys to sustainable disaster management, a multiplayer game is proposed to facilitate interaction between players. Currently, the majority of multiplayer earthquake and tsunami educational games are offline so that the accessibility is still limited. Development of multiplayer online game is a solution to accommodate more participants in collaborative learning process. A multi-language feature is proposed to overcome the language barrier in collaborative learning across countries. Therefore, a collaborative multilingual mobile game for earthquake and tsunami disaster preparedness education named Tsunami Fighters is developed. The game is a turn-based visual novel game which combines competition with collaboration in its mechanic. The game also evaluates the player’s knowledge before and after playing the game. Tsunami Fighters has been tested for students based on game-based learning heuristic evaluation consisting of mobility, usability, playability, learning content, multiplayer and chat components using Likert scale, with overall score 4.13 out of 5. This score indicates that the Tsunami Fighters game can be used as a method for earthquake and tsunami disaster preparedness collaborative learning.","PeriodicalId":167196,"journal":{"name":"2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132086829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Design and Analysis of a Highly Efficient Rectangular Cavity Based Semi-Elliptic Nanoplasmonic Coupler 高效矩形腔半椭圆纳米等离子体耦合器的设计与分析

2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2020-12-01 DOI: 10.1109/R10-HTC49770.2020.9356998

Md. Farhad Hassan, Md. Saiful Islam Sumon, M. Hasan, Md Arefin Rabbi Emon, R. H. Sagor

引用次数: 1

Indirect Measurement of Dissolved Oxygen Based on Algae Growth Factors Using Machine Learning Models 基于藻类生长因子的机器学习模型溶解氧的间接测量

2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2020-12-01 DOI: 10.1109/R10-HTC49770.2020.9357014

Sandy C. Lauguico, Ronnie S. Concepcion, Rogelio Ruzcko Tobias, Jonnel D. Alejandrino, Dailyne D. Macasaet, E. Dadios

{"title":"Indirect Measurement of Dissolved Oxygen Based on Algae Growth Factors Using Machine Learning Models","authors":"Sandy C. Lauguico, Ronnie S. Concepcion, Rogelio Ruzcko Tobias, Jonnel D. Alejandrino, Dailyne D. Macasaet, E. Dadios","doi":"10.1109/R10-HTC49770.2020.9357014","DOIUrl":"https://doi.org/10.1109/R10-HTC49770.2020.9357014","url":null,"abstract":"Excessive algae growth level has become a major concern in sustaining an acceptable quality marine life. Algae bloom levels significantly affect the amount of dissolved oxygen (DO) in a certain body of water. The amount of DO level indicates if the oxygen in the water is enough to provide and support the ecosystem and if the marine environment is suitable for aquatic organisms for healthy survival. A trophic state assessment was done using dissolved oxygen prediction model relating to algae growth factors is proposed to address this issue. The models are trained and tested using five different estimators, namely: multilinear regression (MLR), artificial neural network regression (ANN-R), support vector machine regressor (SVR), gaussian process regressor (GPR), and k-nearest neighbor regression (KNN-R) based on algae growth factors from a marine culture as attributes; which include temperature, power of hydrogen (pH), and specific conductance of water. The target data used is the DO level. Each of the predictors is remarkably contributing to the algae growth level, while DO indicates the level of algae bloom. The relationship between the two sets of data were produced from the models and will be very important in simplifying systems by minimizing DO sensors needed usually for water quality monitoring. Cross-validation R2 values obtained were: 0.88, 0.91, 0.91, 0.92, and 0.93 respectively as mentioned above.","PeriodicalId":167196,"journal":{"name":"2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115066069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Nudge Theory and Social Innovation: An analysis of citizen and government initiatives during Covid-19 outbreak in Malaysia 助推理论与社会创新:对马来西亚新冠肺炎疫情期间公民和政府举措的分析

2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2020-12-01 DOI: 10.1109/R10-HTC49770.2020.9357050

Jacey-Lynn Minoi, F. Mohamad, S. Arnab, Evan Lau Poh Hock

引用次数: 0

Optimizing learning in associative networks and gamification: Lessons learnt and implications 在联想网络和游戏化中优化学习:经验教训和启示

2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2020-12-01 DOI: 10.1109/R10-HTC49770.2020.9356957

Chien-Sing Lee

引用次数: 1